IoT Based Predictive Maintenance In Manufacturing

The rise of Internet of Things (IoT) in industrial environments has made Predictive Maintenance (PdM) a cornerstone for achieving operation efficiency and equipment reliability. By transitioning from reactive to Condition-Based Maintenance (CBM) helps extend equipment lifespan by addressing faults before failure. It involves deploying multiple sensors on industrial equipment to monitor critical parameters such as temperature, vibration and transmitting the data to the cloud for predictive analysis using advanced Machine Learning (ML) models. Our primary goals are to reduce maintenance cost, improve operational efficiency and minimize unplanned downtime of industrial components. Additionally, it addresses challenges such as data security, sensor compatibility, and scalability to enhance processing efficiency. These advancements position IoT-PdM as a key enabler of Industry 4.0 smart manufacturing.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/raeeucci63961.2025.11048329
Citations
3
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
3.64
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article

IoT Based Predictive Maintenance In Manufacturing

Diwakar R. Marur, S. Arulnithika, PB. Taranalakshmi
3 citations
Fault Detection and Control Systems
3.64
article

IoT Based Predictive Maintenance In Manufacturing

Diwakar R. Marur, S. Arulnithika, PB. Taranalakshmi
article en
3 citations

Abstract

The rise of Internet of Things (IoT) in industrial environments has made Predictive Maintenance (PdM) a cornerstone for achieving operation efficiency and equipment reliability. By transitioning from reactive to Condition-Based Maintenance (CBM) helps extend equipment lifespan by addressing faults before failure. It involves deploying multiple sensors on industrial equipment to monitor critical parameters such as temperature, vibration and transmitting the data to the cloud for predictive analysis using advanced Machine Learning (ML) models. Our primary goals are to reduce maintenance cost, improve operational efficiency and minimize unplanned downtime of industrial components. Additionally, it addresses challenges such as data security, sensor compatibility, and scalability to enhance processing efficiency. These advancements position IoT-PdM as a key enabler of Industry 4.0 smart manufacturing.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 7%
Fault Detection and Control Systems
3.64
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